{"id":"W3035297404","doi":"10.1038/s42004-020-0323-0","title":"Extended experimental inferential structure determination method in determining the structural ensembles of disordered protein states","year":2020,"lang":"en","type":"article","venue":"Communications Chemistry","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; University of Toronto; Hospital for Sick Children","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Health and Human Services; National Institutes of Health; Office of Science; Canada Research Chairs; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Statistical physics; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005655443,0.0001457475,0.0001420626,0.00001281159,0.0001036969,0.00002270646,0.0007445572,0.0001257929,0.00002074619],"category_scores_gemma":[0.0001423199,0.0001214336,0.00005807287,0.0001065814,0.0001580663,0.000008584761,0.0004574071,0.0001822464,1.906361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444168,"about_ca_system_score_gemma":0.00005638089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174917,"about_ca_topic_score_gemma":0.00002708928,"domain_scores_codex":[0.9991845,0.00009772629,0.0002790265,0.0002057924,0.00009986033,0.0001330586],"domain_scores_gemma":[0.9989346,0.00002864434,0.0001622445,0.0007571481,0.00007598537,0.00004134201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004080853,0.00001987226,0.001288284,0.00003325999,0.00001402923,1.837426e-7,0.0004601581,0.00005858221,0.9923392,0.00004262764,0.000007616485,0.005695371],"study_design_scores_gemma":[0.0005363827,0.00004881974,0.003227911,0.00001528862,0.00001055487,0.000003634897,0.0005252402,0.009258457,0.9855659,0.0004218491,0.0002330623,0.0001529156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963905,0.0005673952,0.002293251,0.0002408234,0.00001191395,0.0002616203,0.00006194349,0.00001039537,0.0001622159],"genre_scores_gemma":[0.9839518,0.00002244856,0.01528173,0.00006115106,0.00003725456,0.00004284114,0.0005734999,0.00001560513,0.00001365392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01298848,"threshold_uncertainty_score":0.4951917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476817637326996,"score_gpt":0.3077322555688287,"score_spread":0.2929640791955588,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}